An elevated urinary albumin excretion predicts de novo development of renal function impairment in the general population.

BACKGROUND We questioned which factors determine the risk for developing renal function impairment. To that purpose, we studied the incidence of newly diagnosed impaired renal function (GFR <60 mL/min/1.73m2) in the PREVEND cohort (N=8592), which is enriched for the presence of albuminuria, and which was first studied in 1997-1998. Of this cohort, 6894 subjects were studied again four years later. METHODS Subjects with known renal disease, GFR <60 mL/min, missing GFR values, or sediment abnormalities at the first screening were excluded from the present analysis (N=872). We examined whether albuminuria is associated with the de novo development of an impaired renal function. GFR was 90.3 (SD 16.3) mL/min/1.73m2 at baseline, and 11.6% of the subjects had an albuminuria of more than 30 mg/day. RESULTS After a follow-up of four years, 253 subjects (4.2%) were found to have a GFR <60 mL/min/1.73m2. The subjects with newly diagnosed impaired GFR were older, had a higher blood pressure, serum cholesterol, plasma glucose, and urinary albumin excretion at the first examination, and had a lower GFR to start with than those with a GFR >60 at the second evaluation. Subjects with de novo impaired GFR had a comparable BMI and smoked less frequently compared with subjects with GFR >60. In multivariate analysis, urinary albumin excretion was independently predictive for the risk of developing an impaired GFR (P=0.001). CONCLUSION Also in the general population, measurement of urinary albumin excretion may prove to be a valuable tool to detect subjects at risk for later development of renal failure, independent of the presence of other cardiovascular risk factors.

[1]  Philip D. Harvey,et al.  Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38 , 1998, BMJ.

[2]  K. Borch-Johnsen,et al.  Coronary heart disease in young Type 1 (insulin-dependent) diabetic patients with and without diabetic nephropathy: incidence and risk factors , 1987, Diabetologia.

[3]  Hans L Hillege,et al.  Urinary Albumin Excretion Predicts Cardiovascular and Noncardiovascular Mortality in General Population , 2002, Circulation.

[4]  W. Bablok,et al.  A New Biometrical Procedure for Testing the Equality of Measurements from Two Different Analytical Methods. Application of linear regression procedures for method comparison studies in Clinical Chemistry, Part I , 1983, Journal of clinical chemistry and clinical biochemistry. Zeitschrift fur klinische Chemie und klinische Biochemie.

[5]  D. DuBois,et al.  A formula to estimate the approximate surface area if height and weight be known , 1989 .

[6]  D. D. Bois,et al.  CLINICAL CALORIMETRY: TENTH PAPER A FORMULA TO ESTIMATE THE APPROXIMATE SURFACE AREA IF HEIGHT AND WEIGHT BE KNOWN , 1916 .

[7]  S. Yusuf,et al.  Albuminuria and risk of cardiovascular events, death, and heart failure in diabetic and nondiabetic individuals. , 2001, JAMA.

[8]  R. Holman,et al.  Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK Prospective Diabetes Study Group. , 1998 .

[9]  Deeb N Salem,et al.  Level of kidney function as a risk factor for atherosclerotic cardiovascular outcomes in the community. , 2003, Journal of the American College of Cardiology.

[10]  A. Levey,et al.  A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation , 1999, Annals of Internal Medicine.

[11]  C. Mogensen Prediction of Clinical Diabetic Nephropathy in IDDM Patients: Alternatives to Microalbuminuria? , 1990, Diabetes.

[12]  M. Marre,et al.  Microalbuminuria as a predictor of a drop in glomerular filtration rate in subjects with non-insulin-dependent diabetes mellitus and hypertension. , 1997, Clinical nephrology.

[13]  D. Levy,et al.  Prevalence and correlates of elevated serum creatinine levels: the Framingham Heart Study. , 1999, Archives of internal medicine.

[14]  M. Schroll,et al.  Urinary albumin excretion. An independent predictor of ischemic heart disease. , 1999, Arteriosclerosis, thrombosis, and vascular biology.

[15]  G. Eknoyan,et al.  Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[16]  G. Viberti,et al.  Microalbuminuria Predicts Mortality in Noninsulin‐dependent Diabetes , 1984, Diabetic medicine : a journal of the British Diabetic Association.

[17]  R. Bigazzi,et al.  Microalbuminuria predicts cardiovascular events and renal insufficiency in patients with essential hypertension , 1998, Journal of hypertension.

[18]  W Bablok,et al.  Comparison of Several Regression Procedures for Method Comparison Studies and Determination of Sample Sizes Application of linear regression procedures for method comparison studies in Clinical Chemistry, Part II , 1984, Journal of clinical chemistry and clinical biochemistry. Zeitschrift fur klinische Chemie und klinische Biochemie.

[19]  T. Forrester,et al.  Microalbuminuria, renal function and waist:hip ratio in black hypertensive Jamaicans , 1998, Journal of Human Hypertension.

[20]  Daniel Levy,et al.  Predictors of new-onset kidney disease in a community-based population. , 2004, JAMA.

[21]  D. Grobbee,et al.  Microalbuminuria is common, also in a nondiabetic, nonhypertensive population, and an independent indicator of cardiovascular risk factors and cardiovascular morbidity , 2001, Journal of internal medicine.

[22]  C. Mogensen,et al.  Microalbuminuria predicts clinical proteinuria and early mortality in maturity-onset diabetes. , 1984, The New England journal of medicine.